OBLITERATUS · First MLX build 21 Apr 2026
gemma-4-E4B-it-OBLITERATED
MLX
Text apache-2.0 Trending
A 7.5B parameter text generation model from OBLITERATUS, with 2 MLX builds, from 8-bit to fp16.
- Parameters
- 7.5B From Hugging Face
- Quantisation
- 8-bit gemma-4-E4B-it-OBLITERATED-mlx-8Bit
- Memory needed
- 11 GB Estimate, unified memory
- Download
- 8.0 GB Weights, estimated
- Downloads
- 3.7K This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 11 GB at 8-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-8Bit --prompt "Hello"MLX builds
2 on mlx-community| gemma-4-E4B-it-OBLITERATED-mlx-8Bit | 8-bit | 8.0 GB | 11 GB | 3.7K |
|---|---|---|---|---|
| gemma-4-E4B-it-OBLITERATED-mlx-fp16 | fp16 | 15.0 GB | 19 GB | 425 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.